Data underlying the publication: Shady Amsterdam: Identifying the shady places and routes of Amsterdam

DOI:10.4121/8b65d25b-c68f-4e88-b239-27ea90eaf149.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/8b65d25b-c68f-4e88-b239-27ea90eaf149

Datacite citation style

Citra Andinasari, Citra; Monahan, Jessica; Tsalapati, Victoria; Gan, Haohua; Gao, Yan (2024): Data underlying the publication: Shady Amsterdam: Identifying the shady places and routes of Amsterdam. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8b65d25b-c68f-4e88-b239-27ea90eaf149.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

It contains dataset from the Shady Amsterdam's project: shade maps of Amsterdam were created for each warm month using the Daily Shadow Pattern tool of the Urban Multiscale Environmental Predictor (UMEP). Second, cool spaces were identified and evaluated based on accessibility, shading, usability, capacity, heat risk, and Physiological Equivalent Temperature (PET) indicators. Lastly, after obtaining and processing the pedestrian network from the Open Street Map database, shade weight was calculated for each street segment, and cool spaces were incorporated into the network, allowing users to generate datasets of the shortest and shadiest distances to cool spaces, and an algorithm that performs four different routing options: the shortest, the shadiest, and two combinations of the shortest and shadiest paths with different weighting ratios either between two locations or from a starting point to its nearest cool space. 

History

  • 2024-12-02 first online, published, posted

Publisher

4TU.ResearchData

Format

g-zipped shape files and rasters

Organizations

TU Delft, Faculty of Architecture and the Built Environment

DATA

Files (4)